Special disease construction medical term standardization method based on medical big data

Abstract

The invention discloses a special disease construction medical term standardization method based on medical big data, and relates to the technical field of big data information processing. A standard diagnosis dictionary related to diagnosis is planned, a diagnosis mapping dictionary is sorted according to the standard diagnosis dictionary and the diagnosis data, data formatting preprocessing is performed on the diagnosis data needing to be standardized, the standard diagnosis dictionary data and the diagnosis mapping dictionary data, formatted diagnosis data are screened, and are matched with the diagnosis mapping dictionary data, the successfully matched diagnosis data form standard diagnostic data according to the diagnosis mapping dictionary and the standard diagnosis dictionary after data formatting, the unsuccessfully matched diagnosis data are subjected to similarity matching by using NLP, and the standard diagnosis data corresponding to the diagnosis mapping dictionary data of which the similarity matching meets the requirement are selected as the standard diagnosis data of the current diagnosis data.

Description

technical field [0001] The method disclosed in the invention relates to the technical field of big data information processing, in particular, it is a method for standardizing medical terminology for special diseases based on medical big data. Background technique [0002] In the construction of specialized diseases in the medical field, the construction process is to screen and filter the target disease according to the diagnostic data in the medical data, obtain the medical treatment data of the target diagnosis, and then perform medical related processing on such data according to the obtained target medical treatment data, and obtain corresponding special disease cohort. [0003] However, during the construction of specialized diseases, the names of medical terms have not yet been fully standardized, especially in the context of regional medical and health big data scenarios. The code value standards of medical terms in different hospitals are not uniform, which is not c...

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Problems solved by technology

[0003] However, during the construction of specialized diseases, the names of medical terms have not yet been fully standardized, especially in the context of regional medical and health big data scenarios. The code value standards of medical terms in different hospitals are not uniform, which is not conducive to the improvement of automatic processing and the reduction of manual identification. The Difficulty of Standardization of Specialized Medical Terminology

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